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Phased-Consistency-Model

Boosting the performance of consistency models with PCM!

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Awesome-Consistency-Models

Awesome List of Consistency Models

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Be-Your-Outpainter

[ECCV 2024] Be-Your-Outpainter https://arxiv.org/abs/2403.13745

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AnimateLCM

AnimateLCM: Let's Accelerate the Video Generation within 4 Steps!

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Gen-L-Video

The official implementation for "Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising".

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ECCV22-FOSTER

The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.

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Parallel-Computing-Project

Parallel algorithms (quick-sort, merge-sort , enumeration-sort) implemented by p-threads and CUDA

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a-PyTorch-Tutorial-to-Class-Incremental-Learning

a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.

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nsga2

Implementation NSGA-II algorithm in form of python library

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pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

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PyCIL

PyCIL: A Python Toolbox for Class-Incremental Learning

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MINI-TORCH

Mini-pytorch implemented from scratch using Python

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pytorch-NMF

A pytorch package for non-negative matrix factorization.

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iNMF

Source code for integrative nonnegative matrix factorization

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neural-collaborative-filtering

pytorch version of neural collaborative filtering

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class-incremental-learning

PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)

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rebiber

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

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rl-tutorials

basic algorithms of reinforcement learning

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PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

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RLzoo

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

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GradientEpisodicMemory

Continuum Learning with GEM: Gradient Episodic Memory

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FACIL

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

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pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

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AI-System

System for AI Education Resource.

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Bayesian_MQDA

Shallow Bayesian Meta Learning for Real World Few-shot Recognition

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pytorch-ewc

Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"

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autograd

coding an autograd from scratch

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CS-BAOYAN-2022

计算机保研交流群(QQ群号:605176069)

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cs188-projects

CS188 Artificial Intelligence @UC Berkeley

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PRML

Python implementations (on jupyter notebook) of algorithms described in the book "PRML"

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